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Reseach Article

A Study of Psychosocial and Built Environment factors for Diabetes using MLP Neural Network

by M. R. Narasinga Rao, P. Srinivasa Rao, V. Ramakrishna
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 10
Year of Publication: 2012
Authors: M. R. Narasinga Rao, P. Srinivasa Rao, V. Ramakrishna
10.5120/5574-7669

M. R. Narasinga Rao, P. Srinivasa Rao, V. Ramakrishna . A Study of Psychosocial and Built Environment factors for Diabetes using MLP Neural Network. International Journal of Computer Applications. 41, 10 ( March 2012), 1-8. DOI=10.5120/5574-7669

@article{ 10.5120/5574-7669,
author = { M. R. Narasinga Rao, P. Srinivasa Rao, V. Ramakrishna },
title = { A Study of Psychosocial and Built Environment factors for Diabetes using MLP Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 10 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number10/5574-7669/ },
doi = { 10.5120/5574-7669 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:13.287682+05:30
%A M. R. Narasinga Rao
%A P. Srinivasa Rao
%A V. Ramakrishna
%T A Study of Psychosocial and Built Environment factors for Diabetes using MLP Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 10
%P 1-8
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Diabetes Mellitus is a common metabolic disorder and which is prevalent among many people in India. Although there are many factors which influence the onset of diabetes, the relationship between built environment and psycho-social factors is one such factor which play a crucial role for the onset of diabetes. Hence, in this research, the authors try to make a comparative study between built environment and psychosocial factors by using multilayer feed-forward neural networks using back propagation and Modified Feed-Forward Neural Network Constructive (MFNNC)algorithm

References
  1. Sridhar GR, Venkata P, Lakshmi G. Time trends in the prevalence of diabetes mellitus: ten year analysis from Southern India (1994–2004) on 19,072 subjects with diabetes. J Assoc Physicians India. 2010;58:290–4.
  2. Mohan V, Sandeep S, Deepa R, Shah B, Vardhese C. Epidemiology of type 2 diabetes: Indian scenario. Indian J Med Res. 2007;125:217.
  3. Sridhar GR, Rao PV, Ahuja MMS. Epidemiology of diabetes and its complications. In: Ahuja MMS, Tripathy BB, Moses SGP, Chandalia HB, Das AK, Rao PV, editors. RSSDI Textbook of Diabetes, Hyderabad. Research Society for the Study of Diabetes in India; 2002; pp 95–112.
  4. Ewing R, Schmid T, Killingsworth R, Zlot A, Raudenbush S. Relationship between urban sprawl and physical activity, obesity, and morbidity. Am J Health Promotion. 2003;18:47–57.
  5. Gumpeny R Sridhar, Pasala Sudhir Kumar, Putcha Venkata, AppaRao Allam, Vijay Kishore Durai, Madhu Kosuri, Manda R NarasingaRao, V K Kumar, Zibin jiang, Gumpeny Lakshmi. Built Environment Factors, Psychosocial Factors and Diabetes Mellitus:A South Indian Study; Indian Journal of Clinical Medicine 2010:1 15–22.
  6. W. David Aha and Kibler," Instance-based prediction of heart diseases presence with Cleveland database"
  7. J. W. Everhart,J. E. ,Dickson,W. C. ,Knowler,W. C. ,Johannes, R. S. ," Using the ADAP learning algorithm to forecast the onset of diabetes mellitus", Proc. Symp. on Computer Applications and Medical Care, pp. 261-5,1988.
  8. R. W. Brause, " Medical Analysis and Diagnosis by neural networks", J. W. Goethe-University, Computer Science Dept. , Frankfurt a M. , Germany.
  9. W. H. Wolberg and O. L. Mangasarian, " Multisurface method of pattern separation for medical diagnosis applied to breast cytology", Proceedings of the National Academy of Sciences, USA, Volume 87,pp 9193-9196, December 1990.
  10. Kornel Papik, Bela Molnar, Rainer Schaefer, Zalan Dombovari, Zsolt Tulassay, Janos Feher. Application of neural networks in medicine—a review. Medical Science Monthly 1998;4:538-46.
  11. S. M. Kamruzzaman, Ahmad Ryadh Hasan, Abu Baker Siddiquee and Md. Ehsanul Hoque Mazumder. Medical Diagnosis Using Neural Network, 3rd International Conference on Electrical and Computer Engineering, ICECE 2004,28-30 , December 2004,Dhaka,Bangladesh.
  12. Narasinga Rao MR, Sridhar GR, Madhu K, Rao AA. " A clinical decision support system using multilayer perceptron neural network to Assess wellbeing in diabetes", J Assoc Physicians India 2009; 57:127-33.
  13. Manda R NarasingaRao, GR Sridhar, K. Madhu, Allam AppaRao, " A clinical decision support system using multilayer perceptron neural network to predict quality of life in diabetes", Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 4(2010),57-59.
  14. Sudhirkumar Pasala, Allam AppaRao, GR Sridhar, " Built environment and diabetes", Int J Diabetes Dev Ctries. 2010 Apr-Jun; 30(2): 63–68. doi: 10. 4103/0973-3930. 62594
Index Terms

Computer Science
Information Sciences

Keywords

Mlpneuralnetwork Back-propagation Modified Feed-forward Neural Network Constructive Algorithm (mfnnca) primary Activity Food Intake Transport Basic Mobility Activity By Health Professional Activity Leisure Rest